plotting.py

import glob
import seaborn as sns
import matplotlib.pyplot as plt
sns.set()
month_dict = {'Jan': 1, 'Feb': 2, 'Mar': 3, 'Apr': 4, 'May': 5, 'Jun': 6, 'Jul': 7, 'Aug': 8, 'Sep': 9, 'Oct': 10, 'Nov':11, 'Dec':12}
mean_month_list = []
mean_AOD_list = []
csv_directory = '/Users/nimishmishra/Downloads/Kanpur MODIS Data/CSV Files/'
for filename in glob.glob(csv_directory + '*.csv'):
    month = filename[63:66]
    print("Printing data for " + month + " " + str(2018))
    data = pd.read_csv(filename)
    date = data.Date
    deep_blue_AOD = data['Deep Blue AOD']
    cloud_fraction = data['Cloud Fraction']
    scattering_angle = data['Scattering_angle']
    angstrom = data['Angstrom Exponent']
    combined_AOD = data['Combined AOD']
    plot(date, deep_blue_AOD, cloud_fraction, "Deep Blue AOD", "Cloud Fraction", csv_directory, month)
    plot(date, combined_AOD, cloud_fraction, "Combined AOD", "Cloud Fraction", csv_directory, month)
    plot(date, deep_blue_AOD, scattering_angle, "Deep Blue AOD", "Scattering Angle", csv_directory, month)
    plot(date, deep_blue_AOD, angstrom, "Deep Blue AOD", "Angstrom Exp", csv_directory, month)
    mean_month_list.append(month_dict[month])
    mean_AOD_list.append(create_averaged_data(deep_blue_AOD))